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Large language models (LLMs) like OpenAI's GPT-3.5, GPT-4, and Meta's LLaMA-2 are increasingly used in scams targeting humans. However, these AI models are also susceptible to being scammed themselves, as demonstrated in a study by JP Morgan AI Research. Researchers tested these models with 37 different scam scenarios, revealing their vulnerability to deceptive tactics.
The study involved scenarios where chatbots were prompted with investment opportunities in cryptocurrencies and other scams. The findings highlight a significant concern in AI development, as these models can be misled just like humans. This raises questions about the robustness of AI systems and the need for better safeguards against manipulation.
• AI models can be scammed, revealing vulnerabilities in their design.
• JP Morgan's study tested popular chatbots against various scam scenarios.
LLMs are AI systems designed to understand and generate human-like text, used in chatbots.
These are deceptive situations created to test the susceptibility of AI models to manipulation.
Chatbots are AI applications that interact with users through conversation, often powered by LLMs.
5 and GPT-4, which are used in various applications.
Meta is known for its AI research and development, including the LLaMA-2 model used in the study.
JP Morgan conducts AI research to explore the implications of AI technologies in various fields.
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